Removing rician bias before fitting

In a Python shell, import the AMICO library and instantiate an Evaluation object:

>>> import amico

>>> ae = amico.Evaluation()

Before loading your data, activate Rician debias and set the signal-to-noise ratio (SNR) level with the set_config() method:

>>> ae.set_config('doDebiasSignal', True)
>>> ae.set_config('DWI-SNR', 30.0)

You can then proceed loading your DWI data, as well as setting the microstructure model to fit as described in the tutorials.